Designing and building an AI-powered hiring platform
The challenge:
Startups and scale-ups struggle to hire with confidence. While talent is accessible, founders face uncertainty when assessing candidates, comparing profiles, and making decisions. Heavy reliance on recruiters and manual screening increases costs and slows hiring, while candidates experience low transparency and limited feedback.
Our approach:
We designed a platform focused on improving decision confidence, reducing costs, and creating a transparent experience for both employers and candidates. Our approach included:
Conducting user research to uncover hiring behaviours and pain points
Designing and validating core matchmaking and evaluation flows for B2B and B2C users
Developing prototypes and producing a detailed PRD to support backend implementation
Creating product messaging and a landing page to communicate the AI-driven value proposition
Outcomes:
Increased hiring confidence through structured evaluation, role-fit analysis, and risk visibility
Provided recruiter-level evaluation capabilities, enabling startups to make confident hiring decisions independently
Faster decision-making with clear candidate comparisons and rankings
Enhanced candidate experience with actionable, role-specific feedback
Delivered a backend-ready prototype with validated flows and clear technical documentation
Impact:
The platform establishes a scalable, AI-powered hiring solution that prioritises decision confidence over automation. It reduces mis-hire risk, lowers hiring costs, and accelerates time-to-hire, while improving transparency and engagement for candidates.
The UK recruitment industry contributes £40.6 billion to the economy, (REC).